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Category: mobile phones – Page 77

Improving the efficiency of algorithms for fundamental computations is a crucial task nowadays as it influences the overall pace of a large number of computations that might have a significant impact. One such simple task is matrix multiplication, which can be found in systems like neural networks and scientific computing routines. Machine learning has the potential to go beyond human intuition and beat the most exemplary human-designed algorithms currently available. However, due to the vast number of possible algorithms, this process of automated algorithm discovery is complicated. DeepMind recently made a breakthrough discovery by developing AplhaTensor, the first-ever artificial intelligence (AI) system for developing new, effective, and indubitably correct algorithms for essential operations like matrix multiplication. Their approach answers a mathematical puzzle that has been open for over 50 years: how to multiply two matrices as quickly as possible.

AlphaZero, an agent that showed superhuman performance in board games like chess, go, and shogi, is the foundation upon which AlphaTensor is built. The system expands on AlphaZero’s progression from playing traditional games to solving complex mathematical problems for the first time. The team believes this study represents an important milestone in DeepMind’s objective to improve science and use AI to solve the most fundamental problems. The research has also been published in the established Nature journal.

Matrix multiplication has numerous real-world applications despite being one of the most simple algorithms taught to students in high school. This method is utilized for many things, including processing images on smartphones, identifying verbal commands, creating graphics for video games, and much more. Developing computing hardware that multiplies matrices effectively consumes many resources; therefore, even small gains in matrix multiplication efficiency can have a significant impact. The study investigates how the automatic development of new matrix multiplication algorithms could be advanced by using contemporary AI approaches. In order to find algorithms that are more effective than the state-of-the-art for many matrix sizes, AlphaTensor further leans on human intuition. Its AI-designed algorithms outperform those created by humans, which represents a significant advancement in algorithmic discovery.

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This technique involves having participants place their finger over the camera and flash of a smartphone, which uses a deep-learning algorithm to decipher the blood oxygen levels from the blood flow patterns in the resulting video.

Conditions like asthma or COVID-19 make it harder for bodies to absorb oxygen from the lungs. This leads to oxygen saturation percentages dropping to 90% or below, indicating that medical attention is needed.

In a clinic, doctors monitor oxygen saturation using pulse oximeters — those clips you put over your fingertip or ear. But monitoring oxygen saturation at home multiple times a day could help patients keep an eye on COVID symptoms, for example.

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Twelve new security flaws impacting various chipsets were disclosed in this month’s security advisory for Qualcomm’s devices, two of which have been given a critical severity rating. Two significant flaws in Qualcomm chipsets have been identified that might allow malicious payloads to installed remotely on the Android devices.

The first vulnerability, identified as CVE-2022–25748 (CVSS score 9.8), affects Qualcomm’s WLAN component and is described as a “Integer Overflow to Buffer Overflow during parsing GTK frames”. If exploited, this issue might result in memory corruption and remote code execution. This vulnerability impact all smart devices that use the Qualcomm Snapdragon APQ, CSRA, IPQ, MDM, MSM, QCA, WSA, WCN, WCD, SW, SM, SDX, SD, SA, QRB, QCS, QCN, and more series.

The second vulnerability, identified as CVE-2022–25718 (CVSS score 9.1), also affects Qualcomm’s WLAN component and is described as a “Cryptographic issue in WLAN due to improper check on return value while authentication handshake”. If exploited, this issue might result in memory corruption and remote code execution. This vulnerability impact all smart devices that use the Qualcomm Snapdragon APQ, CSRA, IPQ, MDM, MSM, QCA, WSA, WCN, WCD, SW, SM, SDX, SD, SA, QRB, QCS, QCN, and more series.

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Discarded electronic devices, such as cell phones, are a fast-growing source of waste. One way to mitigate the problem could be to use components that are made with renewable resources and that are easy to dispose of responsibly. Now, researchers reporting in ACS Applied Materials & Interfaces have created a prototype circuit board that is made of a sheet paper with fully integrated electrical components, and that can be burned or left to degrade.

Most small electronic devices contain that are made from glass fibers, resins and metal wiring. These boards are not easy to recycle and are relatively bulky, making them undesirable for use in point-of-care , environmental monitors or personal wearable devices.

One alternative is to use paper-based circuit boards, which should be easier to dispose of, less expensive and more flexible. However, current options require specialized paper, or they simply have traditional metal circuitry components mounted onto a sheet of paper. Instead, Choi and colleagues wanted to develop circuitry that would be simple to manufacture and that had all the electronic components fully integrated into the sheet.

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On Friday, Ars Technica reported that Bruce Willis had sold his likeness for use in deepfakes, according to The Telegraph. Dozens of news sites repeated the Telegraph’s claim. Over the weekend, the BBC discovered that Bruce Willis has “no partnership or agreement” with the firm Deepcake, which is based in Georgia, the Eurasian republic.

It’s unclear how the inaccurate claim originated at The Telegraph. While reporting last Friday, we attempted to verify some of the claims in the original Telegraph article (such as Willis being the first actor to sell his deepfake rights), but we could not do so, and we noted that in the report. We also noted that Deepcake is doing business in America under a corporation registered in Delaware. However, we failed to follow through with verifying the entire claim, and we apologize for the error and for repeating the erroneous information.

It’s unclear if Deepcake ever had the rights to use Bruce Willis’ likeness on its website or in its marketing materials. Deepcake told the BBC, “What he definitely did is that he gave us his consent (and a lot of materials) to make his Digital Twin.” Deepcake also claims, per The Hollywood Reporter, that the company’s involvement with Willis arrived through the Creative Artists Agency for use in a 2021 Russian cell phone commercial. However, Willis’ representatives still deny having any involvement with the company.

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Microgrids are the right solution for rural and remote energy production and distribution because they are grids designed for smaller populations.

In the United States, there are at least 60,000 people who have no access to electricity. It is not a large number but poses for this population a barrier to participating in the modern world. You cannot find a job working from home without electricity and Internet access. You cannot visit your doctor virtually. You cannot use electricity to light and heat your home.

But with microgrids that can operate autonomously from the main power grid, rural and remote communities can do everything that people living in big cities can do leading to a better quality of life for those living there.

A Toronto, Canada, based company is a microgrid solutions provider. Called Clear Blue Technologies, it offers energy-as-a-service to rural and remote communities. In Nigeria, it is installing microgrids and distributed energy solutions to help rural communities to access energy and telecommunications services. Its service model manages these installations remotely at a low cost delivering clean renewable electricity while giving rural users access to the Internet. For Nigerian remote communities, it brings them into the 21st century. That’s why in March of this year, Clear Blue was awarded a contract covering 120 telecommunications sites across the country with plans in the next five years to grow that number to 1,060. Talk about levelling the playing field for these communities to give them access to clean energy and cellular phone services.

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Let your cargo follow you while you travel comfortably with the gita plus cargo carrying robot. Double the size of the gita mini robot, this robot comes with pedestrian etiquette. In fact, this robot is perfect for families who need larger cargo space, business owners, or anyone who wants an extra set of hands. The sleek design looks unique and one of a kind. In fact, this robot also has a built-in speaker. It allows you to use the mygita app to stream music from your smartphone. With the help of cameras and radar technology, this robot can see its surroundings and pair with its user. In fact, it takes just one tap for the gita plus to pair to you. It stands and self-balances, braking automatically when needed and adjusting its speed to keep pace along the way.

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Microprocessors in smartphones, computers, and data centers process information by manipulating electrons through solid semiconductors, but our brains have a different system. They rely on the manipulation of ions in liquid to process information.

Inspired by the brain, researchers have long been seeking to develop “ionics” in an . While ions in water move slower than electrons in semiconductors, scientists think the diversity of ionic species with different physical and chemical properties could be harnessed for richer and more diverse information processing.

Ionic computing, however, is still in its early days. To date, labs have only developed individual ionic devices such as ionic diodes and transistors, but no one has put many such devices together into a more complex circuit for computing until now.

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New light has been shed on the formation of increasingly precious rare earth elements (REEs) by researchers from Trinity College Dublin. They accomplished this by creating synthetic rocks and testing their responses to varying environmental conditions. REEs are used in many electronic devices and green energy technologies, including everything from smartphones to electric vehicles.

The findings, just published on September 19 in the journal Global Challenges, have implications for recycling REEs from electronic waste, designing materials with advanced functional properties, and even for finding new REE deposits hidden around the globe.

Dr. Juan Diego Rodriguez-Blanco, Associate Professor in Nanomineralogy at Trinity and an iCRAG (SFI Research Centre in Applied Geosciences) Funded Investigator, was the principal investigator of the work. He said:

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